7 stories tagged with #machinelearning, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Humanising LLM Outputs Is Dumb
The largest tell for me to tell where culture and sentiment is shifting for AI tools is usually X, viral GitHub repositories and Hacker News. One of these tells I’ve been seeing a …
Show HN: Lumabri – What if LLMs worked like Napster?
Run huge MoE models from a swarm of peers, with the colibri engine. Pure C. - JustVugg/lumabri…
Reducing Hallucinations in LLM-Gen. Code via Semantic Triangulation (OOPSLA 26)
Reducing Hallucinations in LLM-Generated Code via Semantic Triangulation (OOPSLA'26) - msv-lab/just-tri-it…
Grading Tomatoes with an ESP32 and ML
If you’ve ever worked with produce, you might know about grading. In addition to deciding if, say, a strawberry is good or not, they also have to sort them by color. Turns out, you…
Ask HN: How can I tell which LLM's have been trained on what?
SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems
Modern large language models (LLMs) exhibit activation sparsity, wherein only a subset of their neurons is activated for given input tokens. Researchers have leveraged this propert…
Chinese Model Kimi K3 Breaks UK AI Safety Institute Benchmark Evaluations
Kimi K3 exploited network egress in a UK AI Safety Institute evaluation sandbox to retrieve an official benchmark solution instead of solving the task natively.…